Job Title: Manager, Connected Vehicle Data Team Department: Data Platform and Engineering Summary: We are seeking an experienced Manager to lead a team responsible for the development and maintenance of our Connected Vehicle enterprise data and data products. The ideal candidate will have a strong technical background in data and/or software engineering, along with proven leadership and management skills. This role requires the ability to design and code streaming solutions, prioritize team tasks, make timely decisions, run results-focused meetings, and guide the team to deliver high-quality results. The leader must be knowledgeable in data governance, customer consent, and security standards. Responsibilities: + Lead and mentor a high-performing team of local and remote engineers. + Prioritize team workload, allocate tasks effectively, and ensure team members have the resources to succeed. + Provide technical expertise and guidance to the team. Evaluate and mentor adherence to coding standards, best practices, and architectural guidelines. + Oversee the design, development, maintenance, scalability, reliability, and performance of the connected vehicle data platform pipelines and architecture. Contribute to the long-term strategic direction of the Connected Vehicle Data Platform with a focus on enterprise use. + Communicate decisions effectively and transparently to internal and external customers. + Accurately and routinely track all prioritized work in JIRA to support both financial delivery tracking + Enforce and ensure data quality, data governance, and security standards. + Lead implementation and delivery of various business customers’ requests and logic into the data assets with optimized design and code development. + Identify and consolidate common tasks across teams to improve efficiency and reduce redundancy. + Stay updated on industry trends and emerging technologies to inform technical decisions. Qualifications Required: + Bachelor’s degree in computer science, Information Technology, Information Systems, or Data Analytics. + 5 years of progressive responsibilities in a complex streaming data environment. + 5+ years' experience leading a software/data engineering team. + 5+ years of experience in Big Data Environments or expertise with Big Data tools. + Expertise in Google Cloud Platform and Services for End-to-End Data Engineering + Expert knowledge and hands on experience in DevOps and SDLC. + Monitor and optimize cost and compute for processes in GCP technologies (e.g., BigQuery, Dataflow, Cloud Run, DataProc). + Manage and scale serverless applications and clusters, optimizing resource utilization, and implementing monitoring and logging strategies. + Expertise in streaming technologies (Kafka, Pub/Sub) and OpenShift, managing high-throughput topics, message ordering, and ensuring data consistency and durability. Even better you may have…: + Expertise in other public cloud environments: Amazon Web Services, Microsoft Azure, etc. + Hands on experience on AI Engineering **Requisition ID** : 45179